From file to useful result
How to ask with this skill installed
Installing the skill gives your AI a method. Your request still has to provide the case-specific facts, constraints and expected output.
1Name the real task
Describe the decision or deliverable, not just the topic.
2Provide the evidence
Add source material, audience, limits and known facts.
3Define done
Set format, quality criteria and checks.
Adaptable starting prompt
Replace the brackets with your case
When to use it
- Grading individual student submissions after a homework deadline
- Generating class analytics on common errors and misconceptions
- Providing personalized feedback reports to students
- Evaluating coding assignments (syntax, logic, efficiency)
- Grading math problems with partial credit consideration
- Assessing essay submissions (argument structure, evidence, writing quality)
- Running automated first-pass grading before manual review
Mistakes to avoid
- Grading without a rubric: Without defined standards, grades become inconsistent and hard to defend
- Being too harsh or too lenient: Use the rubric as a guardrail; calibrate with 2-3 samples before grading the full batch
- Writing generic feedback: "Good job!" or "Incorrect" tells students nothing actionable
- Not flagging plagiarism immediately: Don't score suspicious submissions; escalate for review
- Skipping analytics: The class-level insight is where you improve your teaching, not just individual scores
- Grading late submissions differently: Apply policy consistently; fairness is in consistency